Many organizations still think of analytics as a collection of reports. That mindset usually creates a trail of one-off outputs that answer one question once and then start aging immediately.

Data product thinking changes the frame. It asks whether the organization can answer the question consistently over time, with logic that is visible, definitions that are stable, and a process that can scale.

A report is an output. A data product is a system. That distinction matters more than it sounds like it should.